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20152026
most citedSelective Annotation Makes Language Models Better Few-Shot Learners

64 citations · 114 across the 11 of their papers we have counts for

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cs.CL202264 cited

Selective Annotation Makes Language Models Better Few-Shot Learners

Hongjin Su, Jungo Kasai, Chen Henry Wu +8

Many recent approaches to natural language tasks are built on the remarkable abilities of large language models. Large language models can perform in-context learning, where they l…

cs.CL2021

Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf

Task-oriented conversational systems often use dialogue state tracking to represent the user's intentions, which involves filling in values of pre-defined slots. Many approaches ha…

cs.CL2021

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization

Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi +1

Identifying relevant knowledge to be used in conversational systems that are grounded in long documents is critical to effective response generation. We introduce a knowledge ident…

cs.CL2021

Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts

Trang Tran, Mari Ostendorf

This work explores constituency parsing on automatically recognized transcripts of conversational speech. The neural parser is based on a sentence encoder that leverages word vecto…

cs.CL2021

Representations for Question Answering from Documents with Tables and Text

Vicky Zayats, Kristina Toutanova, Mari Ostendorf

Tables in Web documents are pervasive and can be directly used to answer many of the queries searched on the Web, motivating their integration in question answering. Very often inf…

cs.CL2020

Analysis of Disfluency in Children's Speech

Trang Tran, Morgan Tinkler, Gary Yeung +2

Disfluencies are prevalent in spontaneous speech, as shown in many studies of adult speech. Less is understood about children's speech, especially in pre-school children who are st…