Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
A key capability in managing patent applications or a patent portfolio is comparing claims to other text, e.g. a patent specification. Because the language of claims is different from language used elsewhere in the patent application or in non-patent text, this has been challenging for computer based natural language processing. We test two new LLM-based approaches and find that both provide substantially better performance than previously published values. The ability to match dense information from one domain against much more distributed information expressed in a different vocabulary may also be useful beyond the intellectual property space.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Patents Phrase to Phrase Semantic Matching Dataset
There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them are focused on technical concepts found in patents and scientific publications. This work aims to fill this gap by presen…
Patent classificationSemantic Textual SimilarityLLM-based Extraction of Contradictions from Patents
Already since the 1950s TRIZ shows that patents and the technical contradictions they solve are an important source of inspiration for the development of innovative products. However, TRIZ is a heuristic based on a histo…
Language ModellingLarge Language ModelPrompt EngineeringQuestion Answering+2PatentMatch: A Dataset for Matching Patent Claims & Prior Art
Patent examiners need to solve a complex information retrieval task when they assess the novelty and inventive step of claims made in a patent application. Given a claim, they search for prior art, which comprises all re…
Information RetrievalRetrievalSemantic correspondencePresenting Terrorizer: an algorithm for consolidating company names in patent assignees
The problem of disambiguation of company names poses a significant challenge in extracting useful information from patents. This issue biases research outcomes as it mostly underestimates the number of patents attributed…
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references
The performance of medical research can be viewed and evaluated not only from the perspective of publication output, but also from the perspective of economic exploitability. Patents can represent the exploitation of res…
text similarityTransfer LearningvalidWord Embeddings