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cs.CL2024

FRACTAL: Fine-Grained Scoring from Aggregate Text Labels

Yukti Makhija, Priyanka Agrawal, Rishi Saket +1

Large language models (LLMs) are being increasingly tuned to power complex generation tasks such as writing, fact-seeking, querying and reasoning. Traditionally, human or model fee…

cs.CL2023

BiPhone: Modeling Inter Language Phonetic Influences in Text

Abhirut Gupta, Ananya B. Sai, Richard Sproat +5

A large number of people are forced to use the Web in a language they have low literacy in due to technology asymmetries. Written text in the second language (L2) from such users o…

cs.CL2023

ReTAG: Reasoning Aware Table to Analytic Text Generation

Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer

The task of table summarization involves generating text that both succinctly and accurately represents the table or a specific set of highlighted cells within a table. While signi…

cs.CL2022

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation

Anubhav Jangra, Preksha Nema, Aravindan Raghuveer

Unavailability of parallel corpora for training text style transfer (TST) models is a very challenging yet common scenario. Also, TST models implicitly need to preserve the content…

cs.CL2021

HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints

Sahana Ramnath, Melvin Johnson, Abhirut Gupta +1

Back-translation (BT) of target monolingual corpora is a widely used data augmentation strategy for neural machine translation (NMT), especially for low-resource language pairs. To…