19 citations · 30 across the 7 of their papers we have counts for
9 papers
Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark
Terra Blevins, Stephen Mayhew, Marek Šuppa +11
While multilingual language models promise to bring the benefits of LLMs to speakers of many languages, gold-standard evaluation benchmarks in most languages to interrogate these a…
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana +66
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cul…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
A Dataset of General-Purpose Rebuttal
Matan Orbach, Yonatan Bilu, Ariel Gera +8
In Natural Language Understanding, the task of response generation is usually focused on responses to short texts, such as tweets or a turn in a dialog. Here we present a novel tas…
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining
Tamar Lavee, Matan Orbach, Lili Kotlerman +8
Engaging in a live debate requires, among other things, the ability to effectively rebut arguments claimed by your opponent. In particular, this requires identifying these argument…
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text
Yosi Mass, Lili Kotlerman, Shachar Mirkin +3
We describe a large, high-quality benchmark for the evaluation of Mention Detection tools. The benchmark contains annotations of both named entities as well as other types of entit…
A Recorded Debating Dataset
Shachar Mirkin, Michal Jacovi, Tamar Lavee +6
This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technol…
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja, Anirban Laha, Shachar Mirkin +3
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect…
Personalized Machine Translation: Preserving Original Author Traits
Ella Rabinovich, Shachar Mirkin, Raj Nath Patel +2
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular pe…