19 citations · 35 across the 7 of their papers we have counts for
8 papers
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
Jingcheng Deng, Hengwei Dai, Xuewei Guo +2
The task of response selection in multi-turn dialogue is to find the best option from all candidates. In order to improve the reasoning ability of the model, previous studies pay m…
ASR Error Correction with Constrained Decoding on Operation Prediction
Jingyuan Yang, Rongjun Li, Wei Peng
Error correction techniques remain effective to refine outputs from automatic speech recognition (ASR) models. Existing end-to-end error correction methods based on an encoder-deco…
Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
Ting Han, Chongxuan Huang, Wei Peng
Dialogue State Tracking (DST), which is the process of inferring user goals by estimating belief states given the dialogue history, plays a critical role in task-oriented dialogue…
Crystal structure and properties of iron-based spin-chain compound Ba9Fe3Se15
Jun Zhang, Alexander C. Komarek, Meiling Jin +18
We report the synthesis of a new quasi one-dimensional (1D) iron selenide. Ba9Fe3Se15 was synthesized at high temperature and high pressure of 5.5 GPa and systematically studied vi…
Robustness Testing of Language Understanding in Task-Oriented Dialog
Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen +6
Most language understanding models in task-oriented dialog systems are trained on a small amount of annotated training data, and evaluated in a small set from the same distribution…
MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation
Ting Han, Ximing Liu, Ryuichi Takanobu +5
Task-oriented dialogue systems have made unprecedented progress with multiple state-of-the-art (SOTA) models underpinned by a number of publicly available MultiWOZ datasets. Dialog…
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu +4
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLiMP), a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in Eng…
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Alex Warstadt, Yu Cao, Ioana Grosu +13
Though state-of-the-art sentence representation models can perform tasks requiring significant knowledge of grammar, it is an open question how best to evaluate their grammatical k…