Attentive Semantic Role Labeling with Boundary Indicator
The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language. This paper introduces simple yet effective auxiliary tags for dependency-based SRL to enhance a syntax-agnostic model with multi-hop self-attention. Our syntax-agnostic model achieves competitive performance with state-of-the-art models on the CoNLL-2009 benchmarks both for English and Chinese.
Code (0)
등록된 구현이 없습니다.
Tasks
Semantic Role LabelingSentenceSimilar Papers 제목 키워드 기반
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter
For multi-turn dialogue rewriting, the capacity of effectively modeling the linguistic knowledge in dialog context and getting rid of the noises is essential to improve its performance. Existing attentive models attend t…
Dialogue RewritingSemantic Role LabelingParallel Attention Network with Sequence Matching for Video Grounding
Given a video, video grounding aims to retrieve a temporal moment that semantically corresponds to a language query. In this work, we propose a Parallel Attention Network with Sequence matching (SeqPAN) to address the ch…
Representation LearningVideo GroundingSemantic Role Labeling with Associated Memory Network
Semantic role labeling (SRL) is a task to recognize all the predicate-argument pairs of a sentence, which has been in a performance improvement bottleneck after a series of latest works were presented. This paper propose…
Semantic Role LabelingSentenceA Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging
Previous studies on Thai Sentence Boundary Detection (SBD) mostly assumed sentence ends at a space disambiguation problem, which classified space either as an indicator for Sentence Boundary (SB) or non-Sentence Boundary…
Boundary DetectionMachine TranslationPart-Of-Speech TaggingPOS+2Boundary identification of events in clinical named entity recognition
The problem of named entity recognition in the medical/clinical domain has gained increasing attention do to its vital role in a wide range of clinical decision support applications. The identification of complete and co…
General Classificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)