Proceedings of the Conference
Overview
Proceedings of the Conference is a scientific journal, published since 1970s in English. The journal's country of origin is United States.
Details
Details
Abbr.
Proc Conf Assoc Comput Linguist Meet
Start
1970s
End
Continuing
Frequency
Annual
p-ISSN
0736-587X
Country
United States
Language
English
Recent Articles
1.
Jain V, Rungta M, Zhuang Y, Yu Y, Wang Z, Gao M, et al.
Proc Conf Assoc Comput Linguist Meet
. 2025 Jan;
2024(EACL):1354-1368.
PMID: 39886530
Hierarchical text classification (HTC) is a complex subtask under multi-label text classification, characterized by a hierarchical label taxonomy and data imbalance. The best-performing models aim to learn a static representation...
2.
Li C, Knopman D, Xu W, Cohen T, Pakhomov S
Proc Conf Assoc Comput Linguist Meet
. 2025 Jan;
2022():1866-1877.
PMID: 39845531
Deep learning (DL) techniques involving fine-tuning large numbers of model parameters have delivered impressive performance on the task of discriminating between language produced by cognitively healthy individuals, and those with...
3.
Shaib C, Li M, Joseph S, Marshall I, Li J, Wallace B
Proc Conf Assoc Comput Linguist Meet
. 2024 Dec;
2023:1387-1407.
PMID: 39629494
Large language models, particularly GPT-3, are able to produce high quality summaries of general domain news articles in few- and zero-shot settings However, it is unclear if such models are...
4.
Wang L, Otmakhova Y, DeYoung J, Truong T, Kuehl B, Bransom E, et al.
Proc Conf Assoc Comput Linguist Meet
. 2024 Dec;
2023:9871-9889.
PMID: 39629493
Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported across different documents....
5.
Monajatipoor M, Dou Z, Chien A, Peng N, Chang K
Proc Conf Assoc Comput Linguist Meet
. 2024 Jul;
2024(LREC/COLING):11159-11164.
PMID: 39006531
Vision-language models have become increasingly powerful for tasks that require an understanding of both visual and linguistic elements, bridging the gap between these modalities. In the context of multimodal clinical...
6.
Adams G, Fabbri A, Ladhak F, McKeown K, Elhadad N
Proc Conf Assoc Comput Linguist Meet
. 2024 May;
2023:2680-2697.
PMID: 38770277
Two-step approaches, in which summary candidates are generated-then-reranked to return a single summary, can improve ROUGE scores over the standard single-step approach. Yet, standard decoding methods (i.e., beam search, nucleus...
7.
Adams G, Nguyen B, Smith J, Xia Y, Xie S, Ostropolets A, et al.
Proc Conf Assoc Comput Linguist Meet
. 2024 May;
2023:10520-10542.
PMID: 38689884
Summarization models often generate text that is poorly calibrated to quality metrics because they are trained to maximize the likelihood of a single reference (MLE). To address this, recent work...
8.
Liyanage C, Garg M, Mago V, Sohn S
Proc Conf Assoc Comput Linguist Meet
. 2024 Feb;
2023:306-312.
PMID: 38384674
Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text. As the distribution of WD on social media data...
9.
Carrella F, Miani A, Lewandowsky S
Proc Conf Assoc Comput Linguist Meet
. 2023 Nov;
2023:2339-2349.
PMID: 37997575
The dissemination of false information on the internet has received considerable attention over the last decade. Misinformation often spreads faster than mainstream news, thus making manual fact checking inefficient or,...
10.
Zhou W, Dligach D, Afshar M, Gao Y, Miller T
Proc Conf Assoc Comput Linguist Meet
. 2023 Oct;
2023:125-130.
PMID: 37786810
Text in electronic health records is organized into sections, and classifying those sections into section categories is useful for downstream tasks. In this work, we attempt to improve the transferability...