Work

Recall Error Analysis for Coreference Resolution

Year: 2014

Type: conference-paper

Abstract: We present a novel method for coreference resolution error analysis which we apply to perform a recall error analysis of four state-of-the-art English coreference resolution systems.Our analysis highlights differences between the systems and identifies that the majority of recall errors for nouns and names are shared by all systems.We characterize this set of common challenging errors in terms of a broad range of lexical and semantic properties.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.3115/v1/d14-1221

Authors: Sebastian Martschat, Michael Strube

Institution: Heidelberg Institute for Theoretical Studies

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Klaus Tschira Stiftung

OpenAlex ID: W2250795530