1.3k citations · 2.8k across the 31 of their papers we have counts for
10 papers · 1 filter
Universal Sentence Representation Learning with Conditional Masked Language Model
Ziyi Yang, Yinfei Yang, Daniel Cer +2
This paper presents a novel training method, Conditional Masked Language Modeling (CMLM), to effectively learn sentence representations on large scale unlabeled corpora. CMLM integ…
Text-to-Image Generation Grounded by Fine-Grained User Attention
Jing Yu Koh, Jason Baldridge, Honglak Lee +1
Localized Narratives is a dataset with detailed natural language descriptions of images paired with mouse traces that provide a sparse, fine-grained visual grounding for phrases. W…
Neural Passage Retrieval with Improved Negative Contrast
Jing Lu, Gustavo Hernandez Abrego, Ji Ma +2
In this paper we explore the effects of negative sampling in dual encoder models used to retrieve passages for automatic question answering. We explore four negative sampling strat…
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation
Yinfei Yang, Ning Jin, Kuo Lin +2
Neural models that independently project questions and answers into a shared embedding space allow for efficient continuous space retrieval from large corpora. Independently comput…
MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
Mandy Guo, Yinfei Yang, Daniel Cer +2
Retrieval question answering (ReQA) is the task of retrieving a sentence-level answer to a question from an open corpus (Ahmad et al.,2019).This paper presents MultiReQA, anew mult…
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
Forrest Sheng Bao, Hebi Li, Ge Luo +4
Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summar…
LAReQA: Language-agnostic answer retrieval from a multilingual pool
Uma Roy, Noah Constant, Rami Al-Rfou +3
We present LAReQA, a challenging new benchmark for language-agnostic answer retrieval from a multilingual candidate pool. Unlike previous cross-lingual tasks, LAReQA tests for "str…
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Zarana Parekh, Jason Baldridge, Daniel Cer +2
By supporting multi-modal retrieval training and evaluation, image captioning datasets have spurred remarkable progress on representation learning. Unfortunately, datasets have lim…
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Oshin Agarwal, Yinfei Yang, Byron C. Wallace +1
Named Entity Recognition systems achieve remarkable performance on domains such as English news. It is natural to ask: What are these models actually learning to achieve this? Are…
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
Oshin Agarwal, Yinfei Yang, Byron C. Wallace +1
Named entity recognition systems perform well on standard datasets comprising English news. But given the paucity of data, it is difficult to draw conclusions about the robustness…