sequence_labeling.md

Sequence Labeling

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

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].
• [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 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].
• [2019 TNNLS] Learning with Annotation of Various Degrees, [paper], [bibtex].

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].

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].

Relation Extraction and Entity Linking

• [2018 ACL] DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction, [paper], [bibtex].