63 citations · 155 across the 9 of their papers we have counts for
9 papers
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement
Yang Gao, Ji Ma, Ivan Korotkov +3
We develop and evaluate multilingual scientific documents similarity measurement models in this work. Such models can be used to find related works in different languages, which ca…
HYRR: Hybrid Infused Reranking for Passage Retrieval
Jing Lu, Keith Hall, Ji Ma +1
We present Hybrid Infused Reranking for Passages Retrieval (HYRR), a framework for training rerankers based on a hybrid of BM25 and neural retrieval models. Retrievers based on hyb…
Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai, Vincent Y. Zhao, Ji Ma +7
Much recent research on information retrieval has focused on how to transfer from one task (typically with abundant supervised data) to various other tasks where supervision is lim…
Handling Compounding in Mobile Keyboard Input
Andreas Kabel, Keith Hall, Tom Ouyang +3
This paper proposes a framework to improve the typing experience of mobile users in morphologically rich languages. Smartphone keyboards typically support features such as input de…
Atomized Search Length: Beyond User Models
John Alex, Keith Hall, Donald Metzler
We argue that current IR metrics, modeled on optimizing user experience, measure too narrow a portion of the IR space. If IR systems are weak, these metrics undersample or complete…
Large Dual Encoders Are Generalizable Retrievers
Jianmo Ni, Chen Qu, Jing Lu +8
It has been shown that dual encoders trained on one domain often fail to generalize to other domains for retrieval tasks. One widespread belief is that the bottleneck layer of a du…
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant +4
We provide the first exploration of sentence embeddings from text-to-text transformers (T5). Sentence embeddings are broadly useful for language processing tasks. While T5 achieves…
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
Michael Bendersky, Honglei Zhuang, Ji Ma +3
In this paper, we report the results of our participation in the TREC-COVID challenge. To meet the challenge of building a search engine for rapidly evolving biomedical collection,…
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
Brian Roark, Lawrence Wolf-Sonkin, Christo Kirov +4
This paper describes the Dakshina dataset, a new resource consisting of text in both the Latin and native scripts for 12 South Asian languages. The dataset includes, for each langu…