sequence_labeling.md

Sequence Labeling and Information Retrieval

Including Part-of-Speech Tagging, Chunking, Named Entity Recognition, Semantic Role Labeling (SRL), Punctuation Restoration, Sentence Segmentation, Dependency Parsing, Relation Extraction, Information Extraction, Phrase Extraction, Entity Linking, Discourse Relation, Information Retrieval and etc.

Datasets

• [2002 CoNLL] Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition, [paper], [bibtex], [dataset].
• [2003 CoNLL] Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition, [paper], [bibtex], [dataset].
• [2017 CoNLL] CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, [paper], [bibtex], [homepage].
• [2017 ACL] Cross-lingual Name Tagging and Linking for 282 Languages, [paper], [bibtex], [homepage].
• [2021 ACL] FEW-NERD: A Few-shot Named Entity Recognition Dataset, [paper], [bibtex], [homepage].

Part-of-Speech (POS) Tagging and Named Entity Recognition (NER)

• [2010 ACL] On Jointly Recognizing and Aligning Bilingual Named Entities, [paper], [bibtex].
• [2012 CIKM] Joint Bilingual Name Tagging for Parallel Corpora, [paper], [bibtex].
• [2012 Springer] Supervised Sequence Labelling with Recurrent Neural Networks, [Alex Graves's Ph.D. Thesis], [bibtex].
• [2012 EMNLP] Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features, [paper], [bibtex].
• [2015 ArXiv] Bidirectional LSTM-CRF Models for Sequence Tagging, [paper], [bibtex] [blog], sources: [Hironsan/anago], [guillaumegenthial/sequence_tagging].
• [2015 Cheminformatics] Enhancing of chemical compound and drug name recognition using representative tag scheme and fine-grained tokenization, [paper], [bibtex].
• [2016 ArXiv] Multi-Task Cross-Lingual Sequence Tagging from Scratch, [paper], [bibtex].
• [2016 EMNLP] Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping, [paper], [bibtex].
• [2016 NAACL] Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning, [paper], [bibtex].
• [2016 ICLR] Multi-task Sequence to Sequence Learning, [paper], [bibtex].
• [2016 ACL] Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss, [paper], [bibtex], sources: [bplank/bilstm-aux].
• [2016 ACL] Named Entity Recognition with Bidirectional LSTM-CNNs, [paper], [bibtex], sources: [ThanhChinhBK/Ner-BiLSTM-CNNs].
• [2016 NAACL] Neural Architectures for Named Entity Recognition, [paper], [bibtex], sources: [clab/stack-lstm-ner], [glample/tagger], [marekrei/sequence-labeler].
• [2016 ACL] End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF, [paper], [bibtex], sources: [LopezGG/NN_NER_tensorFlow].
• [2017 IJCNLP] Segment-Level Neural Conditional Random Fields for Named Entity Recognition, [paper], [bibtex].
• [2017 IJCNLP] Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields, [paper], [bibtex].
• [2017 WNUT] A Multi-task Approach for Named Entity Recognition in Social Media Data, [paper], [bibtex], sources: [tavo91/NER-WNUT17].
• [2017 ACL] Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection, [paper], [bibtex].
• [2017 RLNLP] Multi-task Domain Adaptation for Sequence Tagging, [paper], [bibtex].
• [2017 EMNLP] Cheap Translation for Cross-Lingual Named Entity Recognition, [paper], [bibtex].
• [2017 ACL] Semi-supervised Multitask Learning for Sequence Labeling, [paper], [bibtex].
• [2017 EMNLP] Part-of-Speech Tagging for Twitter with Adversarial Neural Networks, [paper], [bibtex], sources: [guitaowufeng/TPANN].
• [2017 EMNLP] Fast and Accurate Entity Recognition with Iterated Dilated Convolutions, [paper], [bibtex] sources: [iesl/dilated-cnn-ner].
• [2017 ICLR] Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks, [paper], [bibtex], sources: [kimiyoung/transfer].
• [2017 ArXiv] Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks, [paper], [bibtex], sources: [UKPLab/emnlp2017-bilstm-cnn-crf].
• [2017 EMNLP] Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging, [paper], [bibtex], sources: [UKPLab/emnlp2017-bilstm-cnn-crf].
• [2017 InterSpeech] Label-dependency coding in Simple Recurrent Networks for Spoken Language Understanding, [paper], [bibtex].
• [2017 ACL] Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary, [paper], [bibtex], sources: [mengf1/trpos].
• [2017 EMNLP] Semi-Supervised Structured Prediction with Neural CRF Autoencoder, [paper], [bibtex], sources: [cosmozhang/NCRF-AE].
• [2017 EMNLP] Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources, [paper], [bibtex].
• [2017 ACL] Semi-supervised Sequence Tagging with Bidirectional Language Models, [paper], [bibtex].
• [2018 LREC] Transfer Learning for Named-Entity Recognition with Neural Networks, [paper], [bibtex], sources: [Franck-Dernoncourt/NeuroNER].
• [2018 ICLR] Deep Active Learning for Named Entity Recognition, [paper], [bibtex].
• [2018 AAAI] Empower Sequence Labeling with Task-Aware Neural Language Model, [paper], [bibtex], sources: [LiyuanLucasLiu/LM-LSTM-CRF].
• [2018 NAACL] Robust Multilingual Part-of-Speech Tagging via Adversarial Training, [paper], [bibtex], sources: [michiyasunaga/pos_adv].
• [2018 ArXiv] Improving Part-of-speech Tagging Via Multi-task Learning and Character-level Word Representations, [paper], [bibtex].
• [2018 NAACL] Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition, [paper], [bibtex], sources: [felixwzh/La-DTL].
• [2018 NAACL] Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens, [paper], [bibtex].
• [2018 ACL] Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings, [paper], [bibtex], sources: [google/meta_tagger].
• [2018 ACL] Named Entity Recognition With Parallel Recurrent Neural Networks, [paper], [bibtex].
• [2018 ACL] Chinese NER Using Lattice LSTM, [paper], [bibtex] sources: [jiesutd/LatticeLSTM].
• [2018 ACL] Hybrid semi-Markov CRF for Neural Sequence Labeling, [paper], [bibtex] sources: [ZhixiuYe/HSCRF-pytorch].
• [2018 ACL] A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling, [paper], [bibtex], sources: [limteng-rpi/mlmt].
• [2018 AAAI] Adversarial Learning for Chinese NER from Crowd Annotations, [paper], [bibtex], sources: [SUDA-HLT/ALCrowd].
• [2018 IJCAI] Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer, [paper], [bibtex], sources: [scir-code/lrner].
• [2018 COLING] Contextual String Embeddings for Sequence Labeling, [paper], [bibtex], sources: [zalandoresearch/flair].
• [2018 ICLR] Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling, [paper], [bibtex], sources: [taoshen58/BiBloSA].
• [2018 CoNLL] Sequence Classification with Human Attention, [paper], [bibtex], sources: [coastalcph/Sequence_classification_with_human_attention].
• [2018 EMNLP] Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling, [paper], [bibtex], sources: [LiyuanLucasLiu/LD-Net].
• [2018 EMNLP] Learning Named Entity Tagger from Domain-Specific Dictionary, [paper], [bibtex], sources: [shangjingbo1226/AutoNER].
• [2018 EMNLP] Semi-Supervised Sequence Modeling with Cross-View Training, [paper], [bibtex], sources: [tensorflow/models/research/cvt_text].
• [2019 TNNLS] Learning with Annotation of Various Degrees, [paper], [bibtex], sources: [joeyzhouty/LAVD].
• [2019 TNNLS] RoSeq: Robust Sequence Labeling, [paper], [bibtex].
• [2019 ACL] Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition, [paper], [bibtex].
• [2019 TPAMI] Dual Adversarial Transfer for Sequence Labeling, [paper], [bibtex].
• [2019 ACL] Multi-Source Cross-Lingual Model Transfer: Learning What to Share, [paper], [bibtex], sources: [microsoft/Multilingual-Model-Transfer].
• [2019 ACL] GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling, [paper], [bibtex], sources: [Adaxry/GCDT].
• [2019 ACL] Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning, [paper], [bibtex], sources: [v-mipeng/LexiconNER].
• [2019 NAACL] Better Modeling of Incomplete Annotations for Named Entity Recognition, [paper], [bibtex], [slides], sources: [allanj/ner_incomplete_annotation].
• [2019 ArXiv] Back Attention Knowledge Transfer for Low-resource Named Entity Recognition, [paper], [bibtex].
• [2019 NeurIPS] A Primal-Dual Formulation for Deep Learning with Constraints, [paper], [bibtex], [homepage], sources: [dair-iitd/dl-with-constraints].
• [2020 ArXiv] MultiMix: A Robust Data Augmentation Framework for Cross-Lingual NLP, [paper], [bibtex].
• [2020 ArXiv] Few-Shot Named Entity Recognition: A Comprehensive Study, [paper], [bibtex].
• [2020 AAAI] Leveraging Multi-Token Entities in Document Level Named Entity Recognition, [paper], [bibtex].
• [2020 ACL] A Unified MRC Framework for Named Entity Recognition, [paper], [bibtex], sources: [ShannonAI/mrc-for-flat-nested-ner].
• [2020 ACL] Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer, [paper], [bibtex].
• [2020 ACL] FLAT: Chinese NER Using Flat-Lattice Transformer, [paper], [bibtex], sources: [LeeSureman/Flat-Lattice-Transformer].
• [2020 ACL] Named Entity Recognition as Dependency Parsing, [paper], [bibtex], sources: [juntaoy/biaffine-ner].
• [2020 ACL] Dice Loss for Data-imbalanced NLP Tasks, [paper], [bibtex], sources: [ShannonAI/dice_loss_for_NLP].
• [2020 ACL] Generalizing Natural Language Analysis through Span-relation Representations, [paper], [bibtex], sources: [neulab/cmu-multinlp].
• [2020 ACL] Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition, [paper], [bibtex], sources: [hiroki13/instance-based-ner].
• [2020 ACL] TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition, [paper], [bibtex], sources: [INK-USC/TriggerNER].
• [2020 AACL] Named Entity Recognition in Multi-level Contexts, [paper], [bibtex].
• [2020 KDD] BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision, [paper], [bibtex], sources: [cliang1453/BOND].
• [2020 IJCAI] Leveraging Document-Level Label Consistency for Named Entity Recognition, [paper], [bibtex], sources: [jiacheng-ye/DocL-NER].
• [2020 ArXiv] A Boundary Regression Model for Nested Named Entity Recognition, [paper], [bibtex], sources: [wuyuefei3/BR].
• [2020 ArXiv] Example-Based Named Entity Recognition, [paper], [bibtex].
• [2020 EMNLP] Coarse-to-Fine Pre-training for Named Entity Recognition, [paper], [bibtex], sources: [strawberryx/CoFEE].
• [2020 EMNLP] Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning, [paper], [bibtex], sources: [asappresearch/structshot].
• [2020 EMNLP] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention, [paper], [bibtex], sources: [studio-ousia/luke].
• [2021 ICLR] Lex-BERT: Enhancing BERT based NER with Lexicons, [paper], [bibtex].
• [2021 ACL] De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention, [paper], [bibtex].
• [2021 ACL] SpanNER: Named Entity Re-/Recognition as Span Prediction, [paper], [bibtex], sources: [neulab/SpanNER].
• [2021 ACL] Template-Based Named Entity Recognition Using BART, [paper], [bibtex], sources: [Nealcly/templateNER].
• [2021 ACL] Automated Concatenation of Embeddings for Structured Prediction, [paper], [bibtex], sources: [Alibaba-NLP/ACE].
• [2021 ACL] Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System, [paper], [bibtex], sources: [ChestnutWYN/ACL2021-Novel-Slot-Detection].
• [2021 ACL] Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model, [paper], [bibtex], sources: [HKUST-KnowComp/MLMET].
• [2021 ArXiv] FLERT: Document-Level Features for Named Entity Recognition, [paper], [bibtex].
• [2021 ArXiv] Exploiting Global Contextual Information for Document-level Named Entity Recognition, [paper], [bibtex].
• [2021 ArXiv] AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction, [paper], [bibtex], sources: [INK-USC/AutoTriggER].
• [2021 AAAI] Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model, [paper], [bibtex], sources: [zwkatgithub/HGL].
• [2021 ArXiv] Prompt-Learning for Fine-Grained Entity Typing, [paper], [bibtex].
• [2021 ArXiv] Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition, [paper], [bibtex].
• [2021 ArXiv] CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning, [paper], [bibtex].
• [2021 WWW] Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks, [paper], [bibtex].
• [2021 ICLR] Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition, [paper], [bibtex], sources: [LeePleased/NegSampling-NER].
• [2021 TKDE] Neural Named Entity Boundary Detection, [paper], [bibtex].
• [2022 AAAI] Unified Named Entity Recognition as Word-Word Relation Classification, [paper], [bibtex], sources: [ljynlp/W2NER].

Semantic Role Labeling (SRL)

• [2015 ACL] End-to-end Learning of Semantic Role Labeling using Recurrent Neural Networks, [paper], [bibtex] sources: [sanjaymeena/semantic_role_labeling_deep_learning], [hiroki13/neural-semantic-role-labeler].
• [2016 ACL] Neural Semantic Role Labeling with Dependency Path Embeddings, [paper], [bibtex] sources: [microth/PathLSTM].
• [2017 ACL] Deep Semantic Role Labeling: What Works and Whats Next, [paper], [bibtex], sources: [luheng/deep_srl].
• [2018 AAAI] Deep Semantic Role Labeling with Self-Attention, [paper], [bibtex], sources: [XMUNLP/Tagger].
• [2018 EMNLP] Linguistically-Informed Self-Attention for Semantic Role Labeling, [paper], [Supplemental Material], [bibtex], [author], [slides], [slides w/ notes], sources: [strubell/LISA].
• [2019 NeurIPS] A Primal-Dual Formulation for Deep Learning with Constraints, [paper], [bibtex], [homepage], sources: [dair-iitd/dl-with-constraints].
• [2020 ACL] Generalizing Natural Language Analysis through Span-relation Representations, [paper], [bibtex], sources: [neulab/cmu-multinlp].

Punctuation Restoration and Sentence Segmentation

• [2016 Interspeech] Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration, [paper], [bibtex], sources: [ottokart/punctuator2].
• [2017 ICASSP] Sequence-to-Sequence Models for Punctuated Transcription Combing Lexical and Acoustic Features, [paper], [bibtex], sources: [choko/acoustic_punctuation].
• [2017 SLSP] Attentional Parallel RNNs for Generating Punctuation in Transcribed Speech, [paper], [bibtex], [dataset], sources: [alpoktem/punkProse].
• [2017 EACL] Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks, [paper], [bibtex].

Dependency Parsing

• [2014 EMNLP] A Fast and Accurate Dependency Parser using Neural Networks, [paper], [bibtex] sources: [akjindal53244/dependency_parsing_tf], [ljj314zz/dependency_parsing_tf-master].
• [2016 TACL] Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representation, [paper], [bibtex], sources: [elikip/bist-parser].
• [2017 ICLR] Deep Bi-Affine Attention for Neural Dependency Parsing, [paper], [bibtex] sources: [tdozat/Parser-v1], [tdozat/Parser-v2].
• [2018 ACL] Simpler but More Accurate Semantic Dependency Parsing, [paper], [bibtex].
• [2020 ACL] Generalizing Natural Language Analysis through Span-relation Representations, [paper], [bibtex], sources: [neulab/cmu-multinlp].
• [2020 EMNLP] UDapter: Language Adaptation for Truly Universal Dependency Parsing, [paper], [bibtex], sources: [ahmetustun/udapter].

Information/Relation Extraction

• [2017 CoNLL] Zero-Shot Relation Extraction via Reading Comprehension, [paper], [bibtex], sources: [omerlevy/bidaf_no_answer], [zhuzhicai/SQuAD2.0-Baseline-Test-with-BiDAF-No-Answer].
• [2017 TACL] Cross-Sentence N-ary Relation Extraction with Graph LSTMs, [paper], [bibtex], sources: [VioletPeng/GraphLSTM_release].
• [2018 ACL] DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction, [paper], [bibtex].
• [2019 NAACL] Open Information Extraction from Question-Answer Pairs, [paper], [bibtex].
• [2019 NAACL] GraphIE: A Graph-Based Framework for Information Extraction, [paper], [bibtex], sources: [thomas0809/GraphIE].
• [2020 ACL] Reasoning with Latent Structure Refinement for Document-Level Relation Extraction, [paper], [bibtex], sources: [nanguoshun/LSR].
• [2020 ACL] Generalizing Natural Language Analysis through Span-relation Representations, [paper], [bibtex], sources: [neulab/cmu-multinlp].
• [2021 ArXiv] Mention-centered Graph Neural Network for Document-level Relation Extraction, [paper], [bibtex], sources: [thunlp/DocRED].
• [2021 NAACL] Document-Level Event Argument Extraction by Conditional Generation, [paper], [bibtex], sources: [raspberryice/gen-arg].
• [2021 ACL] Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction, [paper], [bibtex], sources: [AndrewZhe/Three-Sentences-Are-All-You-Need].
• [2021 ACL] CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction, [paper], [bibtex].
• [2021 EMNLP] Document-level Entity-based Extraction as Template Generation, [paper], [bibtex], sources: [PlusLabNLP/TempGen].

Entity Linking

• [2019 ACL] Boosting Entity Linking Performance by Leveraging Unlabeled Documents, [paper], [bibtex], sources: [lephong/wnel].

Entity Resolution

• [2021 AAAI] Improving the Efficiency and Effectiveness for BERT-based Entity Resolution, [paper], [bibtex].

Event Augment Extraction

• [2022 ACL] Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction, [paper], [bibtex], sources: [mayubo2333/PAIE].

Discourse Relation Representation and Identification

• [2017 EMNLP] Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification, [paper], [bibtex].
• [2018 NAACL] Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph, [paper], [bibtex], sources: [ZeyuDai/paragraph_implicit_discourse_relations].

Coreference and Anaphora Resolution

• [2012 EMNLP] Joint Entity and Event Coreference Resolution across Documents, [paper], [bibtex].
• [2016 EMNLP] Deep Reinforcement Learning for Mention-Ranking Coreference Models, [paper], [bibtex], [blog], [demo], sources: [huggingface/neuralcoref], [clarkkev/deep-coref].
• [2016 ACL] Improving Coreference Resolution by Learning Entity-Level Distributed Representations, [paper], [bibtex], sources: [clarkkev/deep-coref].
• [2017 ArXiv] Linguistic Knowledge as Memory for Recurrent Neural Networks, [paper], [bibtex].
• [2019 ACL] Zero-shot Word Sense Disambiguation using Sense Definition Embeddings, [paper], [bibtex], sources: [malllabiisc/EWISE].
• [2020 ACL] CorefQA: Coreference Resolution as Query-based Span Prediction, [paper], [bibtex], sources: [ShannonAI/CorefQA].
• [2020 ACL] Generalizing Natural Language Analysis through Span-relation Representations, [paper], [bibtex], sources: [neulab/cmu-multinlp].

Key Phrase Extraction

• [2021 KDD] UCPhrase: Unsupervised Context-aware Quality Phrase Tagging, [paper], [bibtex], sources: [xgeric/UCPhrase-exp].

Information Retrieval

• [2020 SIGIR] ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT, [paper], [bibtex], sources: [stanford-futuredata/ColBERT].