Datasets:
id stringlengths 1 4 | year int64 2.01k 2.03k | title stringlengths 12 519 | abstract stringlengths 7 12.7k | pdf_url stringlengths 36 61 | content stringlengths 7 46.5k | __index_level_0__ int64 0 41.4k |
|---|---|---|---|---|---|---|
41 | 2,021 | Automatic Detection and Classification of Mental Illnesses from General Social Media Texts | Mental health is getting more and more attention recently, depression being a very common illness nowadays, but also other disorders like anxiety, obsessive-compulsive disorders, feeding disorders, autism, or attention-deficit/hyperactivity disorders. The huge amount of data from social media and the recent advances of... | https://aclanthology.org/2021.ranlp-1.41 | ## introduction an analysis performed by @xcite estimates that approximately 10% of the world's population is living with a mental illness. the global burden of disease @xcite states that depression is a very common illness and there are more than 264 million people affected by it. at its worst, the illness can lead to... | 11,477 |
534 | 2,023 | Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and Knowledge | To build ultimate dialogue agents, previous studies suggest models that ground both persona and knowledge. However, applying the dialogue system directly to the usual conversation is still limited because the system requires a complete sentence-formed persona and knowledge candidate sets from the given dataset. In cont... | https://aclanthology.org/2023.findings-emnlp.534 | ## introduction in usual conversations, humans utilize the semantic concept in their minds in terms of the dialogue topic and the preference of the interlocutor. with the semantic-level of concepts, humans communicate each other by aggregating the concepts to convey knowledgeable and empathetic responses @xcite . it im... | 24,623 |
218 | 2,022 | You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the k NN - LM | Retrieval-enhanced language models (LMs), which condition their predictions on text retrieved from large external datastores, have recently shown significant perplexity improvements compared to standard LMs. One such approach, the kNN-LM, interpolates any existing LM’s predictions with the output of a k-nearest neighbo... | https://aclanthology.org/2022.findings-emnlp.218 | ## introduction recently, a new class of language models (lms) that are augmented with retrieval capabilities have led to substantial improvements over standard neural lms @xcite @xcite @xcite . furthermore, lms with retrieval warrant investigation as they provide benefits for many tasks @xcite . these approaches gener... | 16,675 |
161 | 2,020 | HERO : Hierarchical Encoder for V ideo+ L anguage Omni-representation Pre-training | We present HERO, a novel framework for large-scale video+language omni-representation learning. HERO encodes multimodal inputs in a hierarchical structure, where local context of a video frame is captured by a Cross-modal Transformer via multimodal fusion, and global video context is captured by a Temporal Transformer.... | https://aclanthology.org/2020.emnlp-main.161 | ## introduction inspired by bert @xcite , largescale multimodal pre-training has prevailed in the realm of vision-and-language research @xcite @xcite . there are many early players in the area, including vilbert @xcite , lxmert @xcite , uniter @xcite , vl-bert @xcite and unicoder-vl @xcite . however, most large-scale p... | 3,882 |
939 | 2,023 | Prompting with Pseudo-Code Instructions | Prompting with natural language instructions has recently emerged as a popular method of harnessing the capabilities of large language models (LLM). Given the inherent ambiguity present in natural language, it is intuitive to consider the possible advantages of prompting with less ambiguous prompt styles, like pseudo-c... | https://aclanthology.org/2023.emnlp-main.939 | ## introduction prompting with natural language instructions has recently emerged as a popular method of harnessing the capabilities of large language models. in addition to fine-tuning, models are often fine-tuned using instructions on a large collection of datasets listing 1 an example pseudo-code instruction for the... | 22,714 |
17 | 2,024 | Can Rule-Based Insights Enhance LLM s for Radiology Report Classification? Introducing the R ad P rompt Methodology. | Developing imaging models capable of detecting pathologies from chest X-rays can be cost and time-prohibitive for large datasets as it requires supervision to attain state-of-the-art performance. Instead, labels extracted from radiology reports may serve as distant supervision since these are routinely generated as par... | https://aclanthology.org/2024.bionlp-1.17 | ## introduction supervised deep learning for medical imaging classification has accomplished significant milestones. in the chest x-ray (cxr) domain, such models have exhibited predictive capabilities on par with expert physicians @xcite and are being utilized in collaborative * equal contribution. annotating medical i... | 28,491 |
70 | 2,023 | Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment | Multi-Modal Entity Alignment (MMEA) is a critical task that aims to identify equivalent entity pairs across multi-modal knowledge graphs (MMKGs). However, this task faces challenges due to the presence of different types of information, including neighboring entities, multi-modal attributes, and entity types. Directly ... | https://aclanthology.org/2023.findings-emnlp.70 | ## introduction multi-modal entity alignment (mmea) is a challenging task that aims to identify equivalent entity pairs across multiple knowledge graphs that feature different modalities of attributes, such as text and images. to accomplish this task, sophisticated models are required to effectively leverage informatio... | 24,158 |
21 | 2,023 | Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models | Though pre-trained language models achieve notable success in many applications, it’s usually controversial for over-confident predictions. Specifically, the in-distribution (ID) miscalibration and out-of-distribution (OOD) detection are main concerns. Recently, some works based on energy-based models (EBM) have shown ... | https://aclanthology.org/2023.eacl-main.21 | ## introduction since many industrial applications involve safety -critical domains such as healthcare @xcite @xcite @xcite , anticipating credit card defaults @xcite and selfdriving @xcite , it's essential for machine learning systems to provide not only accurate but also well-calibrated predictions @xcite , which can... | 21,405 |
39 | 2,023 | UMUT eam and SINAI at S em E val-2023 Task 9: Multilingual Tweet Intimacy Analysis using Multilingual Large Language Models and Data Augmentation | This work presents the participation of the UMUTeam and the SINAI research groups in the SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. The goal of this task is to predict the intimacy of a set of tweets in 10 languages: English, Spanish, Italian, Portuguese, French, Chinese, Hindi, Arabic, Dutch and Korean... | https://aclanthology.org/2023.semeval-1.39 | ## introduction in natural language processing (nlp), intimacy can be described as how people communicate their perception and willingness to share personal data and emotions to their audience @xcite . the semeval 2023 task 9, entitled multilingual tweet intimacy analysis (mtia) @xcite , consists of a regression task i... | 26,317 |
28 | 2,024 | S ea LLM s - Large Language Models for S outheast A sia | Despite the remarkable achievements of large language models (LLMs) in various tasks, there remains a linguistic bias that favors high-resource languages, such as English, often at the expense of low-resource and regional languages. To address this imbalance, we introduce SeaLLMs, an innovative series of language model... | https://aclanthology.org/2024.acl-demos.28 | ## introduction the advent of large language models (llms) has radically transformed the field of natural language processing, demonstrating remarkable abilities in text generation, comprehension, and decision-making tasks @xcite @xcite @xcite @xcite . while the proficiencies of these models are extraordinary, the majo... | 28,143 |
7 | 2,022 | USST ’s System for A uto S im T rans 2022 | This paper describes our submitted text-to-text Simultaneous translation (ST) system, which won the second place in the Chinese→English streaming translation task of AutoSimTrans 2022. Our baseline system is a BPE-based Transformer model trained with the PaddlePaddle framework. In our experiments, we employ data synthe... | https://aclanthology.org/2022.autosimtrans-1.7 | ## introduction simultaneous translation @xcite consists in generating a translation before the source speaker finishes speaking. it is widely used in many real-time scenarios such as international conferences, business negotiations and legal proceedings. the challenge of simultaneous machine translation is to find a r... | 13,653 |
37 | 2,024 | Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models | Recent advances in large language models (LLMs) have promoted generative error correction (GER) for automatic speech recognition (ASR), which aims to predict the ground-truth transcription from the decoded N-best hypotheses. Thanks to the strong language generation ability of LLMs and rich information in the N-best lis... | https://aclanthology.org/2024.findings-acl.37 | ## introduction recent advances in large language models (llms) have attracted a surge of research interest thanks to their remarkable language generation and reasoning ability @xcite @xcite , which achieve a wide range of success on natural language processing (nlp) tasks @xcite @xcite . powered by llms, latest work @... | 31,370 |
46 | 2,020 | Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues | Code-switching is a ubiquitous phenomenon in multilingual communities. Natural language technologies that wish to communicate like humans must therefore adaptively incorporate code-switching techniques when they are deployed in multilingual settings. To this end, we propose a Hindi-English human-machine dialogue system... | https://aclanthology.org/2020.conll-1.46 | ## introduction when interlocutors share more than one language, they nearly inevitably engage in codeswitching (cs): shifting from one language to another @xcite @xcite . since most people in the world today are multilingual @xcite , cs is a ubiquitous phenomenon in multilingual communities. it goes beyond simple lexi... | 3,580 |
18 | 2,023 | Extracting Sign Language Articulation from Videos with M edia P ipe | This paper concerns evaluating methods for extracting phonological information of Swedish Sign Language signs from video data with MediaPipe’s pose estimation. The methods involve estimating i) the articulation phase, ii) hand dominance (left vs. right), iii) the number of hands articulating (one- vs. two-handed signs)... | https://aclanthology.org/2023.nodalida-1.18 | ## introduction sign languages -or, signed languages -are languages produced with gestures articulated in space and perceived visually or tactilely. over 200 sign languages have been documented around the globe @xcite but they are minoritized and under-researched. one challenge for quantitative research on sign languag... | 26,007 |
7 | 2,022 | Part-of-Speech and Morphological Tagging of A lgerian J udeo- A rabic | Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale. In this work, we develop automatic methods for morpho-syntactic tagging of Algerian Judeo-Arabic texts p... | https://aclanthology.org/2022.nejlt-1.7 | ## introduction application of natural language processing (nlp) to real-world problems has been the field's goal from its early days. as algorithms advance, the contribution of nlp to real problems has become more evident and more substantial. the present study originates from a real-world challenge faced by linguists... | 18,123 |
141 | 2,024 | Time is Encoded in the Weights of Finetuned Language Models | We present time vectors, a simple tool to customize language models to new time periods. Time vectors are created by finetuning a language model on data from a single time (e.g., a year or month), and then subtracting the weights of the original pretrained model. This vector specifies a direction in weight space that, ... | https://aclanthology.org/2024.acl-long.141 | ## introduction temporal variation is a fundamental characteristic of language. as we show in §3, it manifests in language model development as temporal misalignment, where deviations in train and test data lead to large performance degradation across different time periods @xcite . this necessitates adaptation techniq... | 27,308 |
710 | 2,024 | Effects of diversity incentives on sample diversity and downstream model performance in LLM -based text augmentation | The latest generative large language models (LLMs) have found their application in data augmentation tasks, where small numbers of text samples are LLM-paraphrased and then used to fine-tune downstream models. However, more research is needed to assess how different prompts, seed data selection strategies, filtering me... | https://aclanthology.org/2024.acl-long.710 | ## introduction the emergence of large language models (llms) such as gpt-4, llama, etc., has sparked interest in using them to augment textual datasets @xcite @xcite . in these scenarios, the number of samples is expanded by paraphrasing existing ones through llm prompting. the created paraphrases are then added to th... | 27,878 |
16 | 2,021 | Interesting cross-border news discovery using cross-lingual article linking and document similarity | Team Name: team-8 Embeddia Tool: Cross-Lingual Document Retrieval Zosa et al. Dataset: Estonian and Latvian news datasets abstract: Contemporary news media face increasing amounts of available data that can be of use when prioritizing, selecting and discovering new news. In this work we propose a methodology for retrie... | https://aclanthology.org/2021.hackashop-1.16 | ## introduction this paper presents our results of the participation in the hackaton, which was organised as part of the eacl 2021 hackashop on news media content analysis and automated report generation. we are addressing the embeddia hackathon challenge on identifying interesting news from neighbouring countries @xci... | 10,065 |
11 | 2,022 | Unmet Creativity Support Needs in Computationally Supported Creative Writing | Large language models (LLMs) enabled by the datasets and computing power of the last decade have recently gained popularity for their capacity to generate plausible natural language text from human-provided prompts. This ability makes them appealing to fiction writers as prospective co-creative agents, addressing the c... | https://aclanthology.org/2022.in2writing-1.11 | ## introduction mixed-initiative co-creative @xcite creativity support tools @xcite for creative writing have recently seen a surge of interest in research communities, coinciding with the introduction of large language models (llms) such as gpt-3 @xcite that can provide coherent suggestions for the continuation of hum... | 17,222 |
114 | 2,025 | QUST _ NLP at S em E val-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval | This paper describes the participation of team QUST_NLP in the SemEval-2025 Task 7. We propose a three-stage retrieval framework specifically designed for fact-checked claim retrieval. Initially, we evaluate the performance of several retrieval models and select the one that yields the best results for candidate retrie... | https://aclanthology.org/2025.semeval-1.114 | ## introduction semeval-2025 shared task 7 focuses on the retrieval of monolingual and crosslingual factchecked claims, aiming to tackle the global challenge of misinformation spread @xcite . we engaged in two tracks of the semeval-2025 shared task 7: monolingual and crosslingual. the monolingual track demands methods ... | 40,531 |
15 | 2,016 | Investigating the Impact of Various Partial Diacritization Schemes on A rabic- E nglish Statistical Machine Translation | Most diacritics in Arabic represent short vowels. In Arabic orthography, such diacritics are considered optional. The absence of these diacritics naturally leads to significant word ambiguity to top the inherent ambiguity present in fully diacritized words. Word ambiguity is a significant impediment for machine transla... | https://aclanthology.org/2016.amta-researchers.15 | ## introduction resolving natural language ambiguity is at the crux of the nlp enterprise. ambiguity refers to the problem of possibly having different interpretations for different segments (words, phrases, etc.) of a sentence. languages such as arabic, hebrew and persian are typically written in a manner that exacerb... | 986 |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 15