SemanticMatching

metric ID: semanticmatching

Related Papers

Cross-sentence Pre-trained Model for Interactive QA matching

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSemantic matching measures the dependencies between query and answer representations, it is an important criterion for evaluating whether the matching is successful. In fact, such matching does not examine each …...

14172

Knowledge-Enhanced Named Entity Disambiguation for Short Text

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNamed entity disambiguation is an important task that plays the role of bridge between text and knowledge. However, the performance of existing methods drops dramatically for short text, which is …...

341

CoSQA: 20,000+ Web Queries for Code Search and Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractFinding codes given natural language query is beneficial to the productivity of software developers. Future progress towards better semantic matching between query and code requires richer supervised training resources. To …...

8230

Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, Biomedical Question Answering (BQA) has attracted growing attention due to its application value and technical challenges. Most existing works treat it as a semantic matching task that predicts answers …...

5092

Summarizing Dialogues with Negative Cues

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAbstractive dialogue summarization aims to convert a long dialogue content into its short form where the salient information is preserved while the redundant pieces are ignored. Different from the well-structured …...

4695

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSemantic matching is a mainstream paradigm of zero-shot relation extraction, which matches a given input with a corresponding label description. The entities in the input should exactly match their hypernyms …...

38494