Exploiting user knowledge during retrieval of semantically annotated API operations

Roj, M.

doi:10.1145/2064713.2064726

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Other studies have also exploited different aspects of APIs and natural language to better retrieve the APIs and their related information. The techniques include: using global and local contexts of the queries [26], leveraging usage similarity for effective retrieval of API examples [27], employing word embeddings to document similarities for improved API retrieval [28], exploiting user knowledge [29], and task-API knowledge gap [30] during retrieval of semantically annotated API operations.…”

Section: B Api Resource Retrievalmentioning

confidence: 99%

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis

Luong¹,

Hadi²,

Thung³

et al. 2021

Preprint

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Collecting API examples, usages, and mentions relevant to a specific API method over discussions on venues such as Stack Overflow is not a trivial problem. It requires efforts to correctly recognize whether the discussion refers to the API method that developers/tools are searching for. The content of the thread, which consists of both text paragraphs describing the involvement of the API method in the discussion and the code snippets containing the API invocation, may refer to the given API method. Leveraging this observation, we develop FACOS, a context-specific algorithm to capture the semantic and syntactic information of the paragraphs and code snippets in a discussion. FACOS combines a syntactic word-based score with a score from a predictive model fine-tuned from CodeBERT. FACOS beats the state-of-the-art approach by 13.9% in terms of F1-score.

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Section: B Api Resource Retrievalmentioning

confidence: 99%

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis

Luong¹,

Hadi²,

Thung³

et al. 2021

Preprint

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“…Rój [17] discussed how the discovery and retrieval of application program interfaces (APIs) can benefit from rich semantic annotation.…”

Section: Users Usage and Applicationsmentioning

confidence: 99%

Report on the fourth workshop on exploiting semantic annotations in information retrieval (ESAIR'11)

2012

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There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by increasing the depth of analysis of today's systems. Currently, we have only started to explore the possibilities and only begun to understand how these valuable semantic cues can be put to fruitful use. The workshop had an interactive format consisting of keynotes, boasters and posters, breakout groups and reports, and a final discussion, which was prolonged into the evening. There was a strong feeling that we made substantial progress. Specifically, each of the breakout groups contributed to our understanding of the way forward. First, annotations and use cases come in many different shapes and forms depending on the domain at hand, but at a higher level there are remarkable commonalities in annotation tools, indexing methods, user interfaces, and general methodology. Second, we got insights in the "exploitation" aspects, leading to a clear separation between the low-level annotations giving context or meaning to small units of information (e.g., NLP, sentiments, entities), and annotations bringing out the structure inherent in the data (e.g., sources, data schema's, document genres). Third, the plan to enrich ClueWeb with various document level (e.g., pagerank and spam scores, but also reading level) and lower level (e.g., named entities or sentiments) annotations was embraced by the workshop as a concrete next step to promote research in semantic annotations.

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“…Rój [12] discuss how the discovery and retrieval of application program interfaces (APIs) can benefit from rich semantic annotation.…”

Section: Accepted Papersmentioning

confidence: 99%

Fourth workshop on exploiting semantic annotations in information retrieval (ESAIR)

Alonso

Kamps

Karlgren³

2011

Proceedings of the 20th ACM International Conference on Information and Knowledge Management

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There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. Unleashing the potential of semantic annotations requires us to think outside the box, by combining the insights of natural language processing (NLP) to go beyond bags of words, the insights of databases (DB) to use structure efficiently even when aggregating over millions of records, the insights of information retrieval (IR) in effective goal-directed search and evaluation, and the insights of knowledge management (KM) to get grips on the greater whole.This workshop aims to bring together researchers from these different disciplines and work together on one of the greatest challenges in the years to come. The desired result of the workshop will be to gain concrete insight into the potential of semantic annotations, and in concrete steps to take this research forward; to synchronize related research happening in NLP, DB, IR, and KM, in ways that combine the strengths of each discipline; and to have a lively, interactive workshop where every participant contributes actively and which inspires attendees to think freely and creatively, working towards a common goal.

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Exploiting user knowledge during retrieval of semantically annotated API operations

Cited by 6 publications

References 2 publications

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis

FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis

Report on the fourth workshop on exploiting semantic annotations in information retrieval (ESAIR'11)

Fourth workshop on exploiting semantic annotations in information retrieval (ESAIR)

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