2020

2020, ACL data: CoNLL-2012, GAP task: Coreference Resolution 通过QA方式处理coreference问题，A query is generated for each candidate mention using its surrounding con- text, and a span prediction module is em- ployed to extract the text spans of the corefer- ences within the document using the generated query. 近期的方法有consider all text spans in a document as potential mentions and learn to find an antecedent for each possible mention. There。这种仅依靠mention的做对比的方法的缺点： At the task formalization level： 因为当前数据集有很多遗漏的mention， mentions left out at the mention proposal stage can never be recov- ered since the downstream module only operates on the proposed mentions....

2020, NAACL data: ACE 04, ACE 05, SciERC links: https://github.com/princeton-nlp/PURE task: Entity and Relation Extraction 提出了一种简单但是有效的pipeline方法:builds on two independent pre-trained encoders and merely uses the entity model to provide input features for the relation model. 实验说明: validate the importance of learning distinct contextual representations for entities and relations, fusing entity information at the input layer of the relation model, and incorporating global context. 从效果上看, 似乎是因为cross sentence的context加成更大 方法 Input: a sentence X consisting of n tokens x1, ....

2020, EMNLP data: ACE 04, ACE 05, ADE, CoNLL04 links: https://github.com/LorrinWWW/two-are-better-than-one. task: Entity and Relation Extraction In this work, we propose the novel table-sequence encoders where two different encoders – a table encoder and a sequence encoder are designed to help each other in the representation learning process. 这篇ACL 2020文章认为, 之前的Joint learning方法侧重于learning a single encoder (usually learning representation in the form of a table) to capture information required for both tasks within the same space....

2020, ACL data: ACE 05 task: Event Detection Propose a novel Enrichment Knowledge Distillation (EKD) model to efficiently distill external open-domain trigger knowledge to reduce the in-built biases to frequent trigger words in annotations. leverage the wealth of the open-domain trigger knowledge to improve ED propose a novel teacher-student model (EKD) that can learn from both labeled and unlabeled data 缺点 只能对付普遍情况, 即一般性的触发词; 但触发词不是在任何语境下都是触发词. 方法 empower the model with external knowledge called Open-Domain Trigger Knowledge, defined as a prior that specifies which words can trigger events without subject to pre-defined event types and the domain of texts....

2020, ACL Task: MultiMedia Event Extraction Introduce a new task, MultiMedia Event Extraction (M2E2), which aims to extract events and their arguments from multimedia documents. Construct the first benchmark and evaluation dataset for this task, which consists of 245 fully annotated news articles Propose a novel method, Weakly Aligned Structured Embedding (WASE), that encodes structured representations of semantic information from textual and visual data into a common embedding space. which takes advantage of annotated unimodal corpora to separately learn visual and textual event extraction, and uses an image-caption dataset to align the modalities...