Search Results - "Computing methodologies Artificial intelligence Natural language processing Lexical semantics"

From Word Embeddings to Document Similarities for Improved Information Retrieval in Software Engineering by Xin Ye, Hui Shen, Xiao Ma, Bunescu, Razvan, Chang Liu

“…The application of information retrieval techniques to search tasks in software engineering is made difficult by the lexical gap between search queries,…”
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Word embeddings for the software engineering domain by Efstathiou, Vasiliki, Chatzilenas, Christos, Spinellis, Diomidis

“…The software development process produces vast amounts of textual data expressed in natural language. Outcomes from the natural language processing community…”
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ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching by Zhao, Youpeng, Wu, Di, Wang, Jun

“…The Transformer architecture has significantly advanced natural language processing (NLP) and has been foundational in developing large language models (LLMs)…”
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A Reference Model for Empirically Comparing LLMs with Humans by Schneider, Kurt, Fotrousi, Farnaz, Wohlrab, Rebekka

“…Large Language Models (LLM) have shown stunning abilities to carry out tasks that were previously conducted by humans. The future role of humans and the…”
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Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions by Steininger, Benedikt, Papamichail, Chrysanthi, Stark, David, Nickovic, Dejan, Gambi, Alessio

“…Testing autonomous vehicles (AV) software, which is currently done using simulations, requires the availability of various content, such as terrains and maps,…”
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OSS-LCAF: Open-Source Software License Conflict Analysis Framework by Kahol, Aditya, Tummepalli, Anka Chandrahas, Anish, Preethu Rose

“…Conflicts arising from the presence of multiple licenses in open-source software (OSS) projects can lead to compliance issues, legal risks, operational…”
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Integrating a dialog component into a framework for spoken language understanding by Weigelt, Sebastian, Hey, Tobias, Landhäußer, Mathias

“…Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and…”
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Large Language Model for Qualitative Research: A Systematic Mapping Study by Barros, Caua Ferreira, Azevedo, Bruna Borges, Graciano Neto, Valdemar Vicente, Kassab, Mohamad, Kalinowski, Marcos, Do Nascimento, Hugo Alexandre D., Bandeira, Michelle C.G.S.P.

“…The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative…”
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Improved Stance Prediction in a User Similarity Feature Space by Darwish, Kareem, Magdy, Walid, Zanouda, Tahar

“…Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown…”
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LONG EXPOSURE: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity by Wang, Tuowei, Li, Kun, Hao, Zixu, Bai, Donglin, Ren, Ju, Zhang, Yaoxue, Cao, Ting, Yang, Mao

“…The adaptation of pre-trained large language models (LLMs) to diverse downstream tasks via fine-tuning is critical for numerous applications. However, the…”
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Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation by Hai, Nam Le, Bui, Nghi D. Q.

“…Code comments provide important information for understanding the source code. They can help developers understand the overall purpose of a function or class,…”
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Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models by Imran, Mia Mohammad

“…Emotion recognition in software engineering texts is critical for understanding developer expressions and improving collaboration. This paper presents a…”
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LEXIQL: Quantum Natural Language Processing on NISQ-era Machines by Silver, Daniel, Ranjan, Aditya, Achutha, Rakesh, Patel, Tirthak, Tiwari, Devesh

“…The rapid evolution of quantum hardware is propelling quantum computing to new frontiers. Nonetheless, the potential of natural language processing in the…”
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Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification by Gomez-Barrera, Daniel Fernando, Becerra, Luccas Rojas, Roncancio, Juan Pinzon, Almanza, David Ortiz, Arboleda, Juan, Linares-Vasquez, Mario, Manrique, Ruben Francisco

“…This paper presents the findings of our team's efforts during the "NLBSE 2024" competition, which centered on the multi-class classification of GitHub Issues…”
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Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews by Kumar, Sandeep, Ghosal, Tirthankar, Bharti, Prabhat Kumar, Ekbal, Asif

“…The peer-review process is the benchmark of research validation. Peer-reviewed texts are the artifacts via which the editors/chairs decide the…”
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Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases by Walter, Tobias, Kirschner, Celina, Eger, Steffen, Glavas, Goran, Lauscher, Anne, Ponzetto, Simone Paolo

“…We analyze bias in historical corpora as encoded in diachronic distributional semantic models by focusing on two specific forms of bias, namely a political…”
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COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews by Singh, Shruti, Singh, Mayank, Goyal, Pawan

“…Comparing research papers is a conventional method to demonstrate progress in experimental research. We present COMPARE, a taxonomy and a dataset of comparison…”
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Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort by Weeber, Franziska, Hamborg, Felix, Donnay, Karsten, Gipp, Bela

“…Large amounts of annotated data have become more important than ever, especially since the rise of deep learning techniques. However, manual annotations are…”
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Low-cost semantic enhancement to digital library metadata and indexing: Simple yet effective strategies by Hinze, Annika, Bainbridge, David, Cunningham, Sally Jo, Downie, J. Stephen

“…Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant…”
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Semantic bookworm: Mining literary resources revisited by Hinze, Annika, Coleman, Michael, Cunningham, Sally Jo, Bainbridge, David

“…In this paper, we describe Semantic Bookworm - a tool that supports scholarly text analysis. In contrast to the text-based Bookworm tool, the Semantic Bookworm…”
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