5 citations · 5 across the 3 of their papers we have counts for
7 papers · 1 filter
Explicit Inductive Inference using Large Language Models
Tianyang Liu, Tianyi Li, Liang Cheng +1
Large Language Models (LLMs) are reported to hold undesirable attestation bias on inference tasks: when asked to predict if a premise P entails a hypothesis H, instead of consideri…
A Language-agnostic Model of Child Language Acquisition
Louis Mahon, Omri Abend, Uri Berger +3
This work reimplements a recent semantic bootstrapping child-language acquisition model, which was originally designed for English, and trains it to learn a new language: Hebrew. T…
Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets
Nikita Moghe, Arnisa Fazla, Chantal Amrhein +5
Recent machine translation (MT) metrics calibrate their effectiveness by correlating with human judgement but without any insights about their behaviour across different error type…
Sentence-Incremental Neural Coreference Resolution
Matt Grenander, Shay B. Cohen, Mark Steedman
We propose a sentence-incremental neural coreference resolution system which incrementally builds clusters after marking mention boundaries in a shift-reduce method. The system is…
Prosodic features improve sentence segmentation and parsing
Elizabeth Nielsen, Sharon Goldwater, Mark Steedman
Parsing spoken dialogue presents challenges that parsing text does not, including a lack of clear sentence boundaries. We know from previous work that prosody helps in parsing sing…
Zero-shot Cross-Linguistic Learning of Event Semantics
Malihe Alikhani, Thomas Kober, Bashar Alhafni +6
Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific com…