Papers with Code 아카이브

Context Query Reformulation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
0
보존된 평가 기록
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데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

FollowUp

1000 query triples on 120 tables. Source: FANDA: A Novel Approach to Perform Follow-up Query Analysis

MuDoCo_QueryRewrite

<Task description: joint learning of coreference resolution and query rewrite> Given an ongoing dialogue between a user and a dialogue assistant, for the user query, the model is required to predict both coreference links between the query and the dialogue context, and the self-contained rewritten user query that is independent to the dialogue context. <Dataset> The MuDoCo dataset is a public dataset that contains 7.5k task-oriented multi-turn dialogues across 6 domains (calling, messaging, music, news, reminders, weather). Each dialogue turn is annotated with coreference links (links field). Please refer to the paper of the MuDoCo dataset for more details. Upon on the MuDoCo dataset, we annotate the query rewrite for each utterance, including both user and system turns. More details are provided in https://github.com/apple/ml-cread.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.