7.6 KiB
一、 Entity 相关
(NER & Entity Typing & Entity Linking)主要涉及词汇增强、低资源、跨领域、跨语言、多模态、表示学习。
-
A Unified MRC Framework for Named Entity Recognition Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu and Jiwei Li
-
Bipartite Flat-Graph Network for Nested Named Entity Recognition Ying Luo and Hai Zhao
-
Code and Named Entity Recognition in StackOverflow Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter
-
Empower Entity Set Expansion via Language Model Probing Yunyi Zhang, Jiaming Shen, Jingbo Shang and Jiawei Han
-
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains Jan-Christoph Klie, Richard Eckart de Castilho and Iryna Gurevych
-
Hierarchical Entity Typing via Multi-level Learning to Rank Tongfei Chen, Yunmo Chen and Benjamin Van Durme
-
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer
Jianfei Yu, Jing Jiang, Li Yang and Rui Xia
-
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference Jing Wang, Mayank Kulkarni and Daniel Preotiuc-Pietro
-
Named Entity Recognition without Labelled Data: A Weak Supervision Approach Pierre Lison, Jeremy Barnes, Aliaksandr Hubin and Samia Touileb
-
Neighborhood Matching Network for Entity Alignment Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang and Dongyan Zhao
-
Pyramid: A Layered Model for Nested Named Entity Recognition Jue Wang, Lidan Shou, Ke Chen and Gang Chen
-
Sources of Transfer in Multilingual Named Entity Recognition David Mueller, Nicholas Andrews and Mark Dredze
-
Temporally-Informed Analysis of Named Entity Recognition Shruti Rijhwani and Daniel Preotiuc-Pietro
-
Improving Entity Linking through Semantic Reinforced Entity Embeddings Feng Hou, Ruili Wang, Jun He and Yi Zhou\
-
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied and Lidong Bing
-
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui
-
Named Entity Recognition as Dependency Parsing Juntao Yu, Bernd Bohnet and Massimo Poesio
-
Soft Gazetteers for Low-Resource Named Entity Recognition Shruti Rijhwani, Shuyan Zhou, Graham Neubig and Jaime Carbonell
-
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren
-
Connecting Embeddings for Knowledge Graph Entity Typing Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG
-
An Effective Transition-based Model for Discontinuous NER Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris
-
Multi-Cell Compositional LSTM for NER Domain Adaptation Chen Jia and Yue Zhang
-
Simplify the Usage of Lexicon in Chinese NER Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei and Xuanjing Huang
-
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language Qianhui Wu, Zijia Lin, Börje Karlsson, Jian-Guang Lou and Biqing Huang
-
FLAT: Chinese NER Using Flat-Lattice Transformer Xiaonan Li, Hang Yan, Xipeng Qiu and Xuanjing Huang
二、Relation 相关
主要涉及联合抽取、可解释、zero-shot、开放领域抽取、文档级抽取。
-
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian and Yi Chang
-
Dialogue-Based Relation Extraction Dian Yu, Kai Sun, Claire Cardie and Dong Yu
-
Exploiting the Syntax-Model Consistency for Neural Relation Extraction Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen
-
In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Desmulliez and Ioannis Konstas
-
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig
-
Rationalizing Medical Relation Prediction from Corpus-level Statistics Zhen Wang, Jennifer Lee, Simon Lin and Huan Sun
-
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction Guoshun Nan, Zhijiang Guo, Ivan Sekulic and Wei Lu
-
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents Daoyuan Chen, Yaliang Li, Kai Lei and Ying Shen
-
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig
-
Towards Understanding Gender Bias in Relation Extraction Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang
-
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages Colin Lockard, Prashant Shiralkar, Xin Luna Dong and Hannaneh Hajishirzi
-
Relation Extraction with Explanation Hamed Shahbazi, Xiaoli Fern, Reza Ghaeini and Prasad Tadepalli
-
Revisiting Unsupervised Relation Extraction Thy Thy Tran, Phong Le and Sophia Ananiadou
三、Event相关
-
Cross-media Structured Common Space for Multimedia Event Extraction Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji and Shih-Fu Chang
-
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding Xinya Du and Claire Cardie
-
Improving Event Detection via Open-domain Trigger Knowledge Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li and Jun Xie
-
A Two-Step Approach for Implicit Event Argument Detection Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma and Eduard Hovy
-
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation Aakanksha Naik and Carolyn Rose