Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows
Code (1)
Tasks
Coreference ResolutionEntity LinkingQuestion AnsweringReading ComprehensionSimilar Papers 제목 키워드 기반
SemEval 2018 Task 4: Character Identification on Multiparty Dialogues
Character identification is a task of entity linking that finds the global entity of each personal mention in multiparty dialogue. For this task, the first two seasons of the popular TV show Friends are annotated, compri…
Entity LinkingMachine TranslationQuestion AnsweringChallenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
This paper presents a new corpus and a robust deep learning architecture for a task in reading comprehension, passage completion, on multiparty dialog. Given a dialog in text and a passage containing factual descriptions…
Question AnsweringReading ComprehensionJoint Coreference Resolution and Character Linking for Multiparty Conversation
Character linking, the task of linking mentioned people in conversations to the real world, is crucial for understanding the conversations. For the efficiency of communication, humans often choose to use pronouns (e.g., …
coreference-resolutionCoreference ResolutionEntity LinkingDesign and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue
This paper analyzes challenges in cloze-style reading comprehension on multiparty dialogue and suggests two new tasks for more comprehensive predictions of personal entities in daily conversations. We first demonstrate t…
Reading ComprehensionKNU CI System at SemEval-2018 Task4: Character Identification by Solving Sequence-Labeling Problem
Character identification is an entity-linking task that finds words referring to the same person among the nouns mentioned in a conversation and turns them into one entity. In this paper, we define a sequence-labeling pr…
Coreference ResolutionDecoderEntity LinkingPosition