Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Natural Language Processing
Title: Coreference Resolution in Biomedical Texts: a Machine Learning Approach
Abstract: Motivation: Coreference resolution, the process of identifying different mentions of an entity, is a very important component in a text-mining system. Compared with the work in news articles, the existing study of coreference resolution in biomedical texts is quite preliminary by only focusing on specific types of anaphors like pronouns or definite noun phrases, using heuristic methods, and running on small data sets. Therefore, there is a need for an in-depth exploration of this task in the biomedical domain. Results: In this article, we presented a learning-based approach to coreference resolution in the biomedical domain. We made three contributions in our study. Firstly, we annotated a large scale coreference corpus, MedCo, which consists of 1,999 medline abstracts in the GENIA data set. Secondly, we proposed a detailed framework for the coreference resolution task, in which we augmented the traditional learning model by incorporating non-anaphors into training. Lastly, we explored various sources of knowledge for coreference resolution, particularly, those that can deal with the complexity of biomedical texts. The evaluation on the MedCo corpus showed promising results. Our coreference resolution system achieved a high precision of 85.2% with a reasonable recall of 65.3%, obtaining an F-measure of 73.9%. The results also suggested that our augmented learning model significantly boosted precision (up to 24.0%) without much loss in recall (less than 5%), and brought a gain of over 8% in F-measure.
Extracted statement — Results: an F-measure of 73.9%
Research field: Natural Language Processing
Title: End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Abstract: State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing. In this paper, we introduce a novel neutral network architecture that benefits from both word- and character-level representations automatically, by using combination of bidirectional LSTM, CNN and CRF. Our system is truly end-to-end, requiring no feature engineering or data pre-processing, thus making it applicable to a wide range of sequence labeling tasks. We evaluate our system on two data sets for two sequence labeling tasks --- Penn Treebank WSJ corpus for part-of-speech (POS) tagging and CoNLL 2003 corpus for named entity recognition (NER). We obtain state-of-the-art performance on both the two data --- 97.55\% accuracy for POS tagging and 91.21\% F1 for NER.
Extracted statement — Material: CoNLL 2003 corpus for named entity recognition (NER)
Research field: Natural Language Processing
Title: Named Entity Recognition with Bidirectional LSTM-CNNs
Abstract: Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance. In this paper, we present a novel neural network architecture that automatically detects word- and character-level features using a hybrid bidirectional LSTM and CNN architecture, eliminating the need for most feature engineering. We also propose a novel method of encoding partial lexicon matches in neural networks and compare it to existing approaches. Extensive evaluation shows that, given only tokenized text and publicly available word embeddings, our system is competitive on the CoNLL-2003 dataset and surpasses the previously reported state of the art performance on the OntoNotes 5.0 dataset by 2.13 F1 points. By using two lexicons constructed from publicly-available sources, we establish new state of the art performance with an F1 score of 91.62 on CoNLL-2003 and 86.28 on OntoNotes, surpassing systems that employ heavy feature engineering, proprietary lexicons, and rich entity linking information.
Extracted statement — Material: OntoNotes 5.0 dataset
Research field: Natural Language Processing
Title: End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Abstract: We present a novel end-to-end neural model to extract entities and relations between them. Our recurrent neural network based model captures both word sequence and dependency tree substructure information by stacking bidirectional tree-structured LSTM-RNNs on bidirectional sequential LSTM-RNNs. This allows our model to jointly represent both entities and relations with shared parameters in a single model. We further encourage detection of entities during training and use of entity information in relation extraction via entity pretraining and scheduled sampling. Our model improves over the state-of-the-art feature-based model on end-to-end relation extraction, achieving 12.1% and 5.7% relative error reductions in F1-score on ACE2005 and ACE2004, respectively. We also show that our LSTM-RNN based model compares favorably to the state-of-the-art CNN based model (in F1-score) on nominal relation classification (SemEval-2010 Task 8). Finally, we present an extensive ablation analysis of several model components.
Extracted statement — Has experimental datasets: SemEval-2010 Task 8
Research field: Networking and Internet Architecture
Title: PredictRoute: A Network Path Prediction Toolkit
Abstract: Accurate prediction of network paths between arbitrary hosts on the Internet is of vital importance for network operators, cloud providers, and academic researchers. We present PredictRoute, a system that predicts network paths between hosts on the Internet using historical knowledge of the data and control plane. In addition to feeding on freely available traceroutes and BGP routing tables, PredictRoute optimally explores network paths towards chosen BGP prefixes. PredictRoute's strategy for exploring network paths discovers 4X more autonomous system (AS) hops than other well-known strategies used in practice today. Using a corpus of traceroutes, PredictRoute trains probabilistic models of routing towards prefixes on the Internet to predict network paths and their likelihood. PredictRoute's AS-path predictions differ from the measured path by at most 1 hop, 75% of the time. We expose PredictRoute's path prediction capability via a REST API to facilitate its inclusion in other applications and studies. We additionally demonstrate the utility of PredictRoute in improving real-world applications for circumventing Internet censorship and preserving anonymity online.
Extracted statement — Result: PredictRoute's AS-path predictions differ from the measured path by at most 1 hop, 75% of the time.
Research field: Oceanography
Title: First direct measurements of N2 fixation during a Trichodesmium bloom in the eastern Arabian Sea
Abstract: We report the first direct estimates of N2 fixation rates measured during the spring, 2009 using the 15N2 gas tracer technique in the eastern Arabian Sea, which is well known for significant loss of nitrogen due to intense denitrification. Carbon uptake rates are also concurrently estimated using the 13C tracer technique. The N2 fixation rates vary from ∼0.1 to 34 mmol N m−2d−1 after correcting for the isotopic under‐equilibrium with dissolved air in the samples. These higher N2 fixation rates are consistent with higher chlorophyll a and low δ15N of natural particulate organic nitrogen. Our estimates of N2 fixation is a useful step toward reducing the uncertainty in the nitrogen budget.
Extracted statement — Method (primary production): 13C tracer
Research field: Oceanography
Title: First direct measurements of N2fixation during aTrichodesmiumbloom in the eastern Arabian Sea: N2FIXATION IN THE ARABIAN SEA
Abstract: We report the first direct estimates of N2 fixation rates measured during the spring, 2009 using the 15N2 gas tracer technique in the eastern Arabian Sea, which is well known for significant loss of nitrogen due to intense denitrification. Carbon uptake rates are also concurrently estimated using the 13C tracer technique. The N2 fixation rates vary from ∼0.1 to 34 mmol N m−2d−1 after correcting for the isotopic under‐equilibrium with dissolved air in the samples. These higher N2 fixation rates are consistent with higher chlorophyll a and low δ15N of natural particulate organic nitrogen. Our estimates of N2 fixation is a useful step toward reducing the uncertainty in the nitrogen budget.
Extracted statement — Method (primary production): 13C tracer
Research field: Oceanography
Title: High new production in the Bay of Bengal: Possible causes and implications
Abstract: We report the first measurements of new production (15N tracer technique), the component of primary production that sustains on extraneous nutrient inputs to the euphotic zone, in the Bay of Bengal. Experiments done in two different seasons consistently show high new production (averaging around 4 mmol N m−2 d−1 during post monsoon and 5.4 mmol N m−2 d−1 during pre monsoon), validating the earlier conjecture of high new production, based on pCO2 measurements, in the Bay. Averaged over annual time scales, higher new production could cause higher rate of removal of organic carbon. This could also be one of the reasons for comparable organic carbon fluxes observed in the sediment traps of the Bay of Bengal and the eastern Arabian Sea. Thus, oceanic regions like Bay of Bengal may play a more significant role in removing the excess CO2 from the atmosphere than hitherto believed.
Extracted statement — Method: 15N tracer
Research field: Organic Chemistry
Title: Selective, Nickel-Catalyzed Hydrogenolysis of Aryl Ethers
Abstract: A catalyst that cleaves aryl-oxygen bonds but not carbon-carbon bonds may help improve lignin processing. Selective hydrogenolysis of the aromatic carbon-oxygen (C-O) bonds in aryl ethers is an unsolved synthetic problem important for the generation of fuels and chemical feedstocks from biomass and for the liquefaction of coal. Currently, the hydrogenolysis of aromatic C-O bonds requires heterogeneous catalysts that operate at high temperature and pressure and lead to a mixture of products from competing hydrogenolysis of aliphatic C-O bonds and hydrogenation of the arene. Here, we report hydrogenolyses of aromatic C-O bonds in alkyl aryl and diaryl ethers that form exclusively arenes and alcohols. This process is catalyzed by a soluble nickel carbene complex under just 1 bar of hydrogen at temperatures of 80 to 120°C; the relative reactivity of ether substrates scale as Ar-OAr>>Ar-OMe>ArCH2-OMe (Ar, Aryl; Me, Methyl). Hydrogenolysis of lignin model compounds highlights the potential of this approach for the conversion of refractory aryl ether biopolymers to hydrocarbons.
Extracted statement — Additive: 1 bar of hydrogen
Research field: Organic Chemistry
Title: Solvent-Free Chelation-Assisted Catalytic C-C Bond Cleavage of Unstrained Ketone by Rhodium(I) Complexes under Microwave Irradiation
Abstract: A highly efficient C-C bond cleavage of unstrained aliphatic ketones bearing β-hydrogens with olefins was achieved using a chelation-assisted catalytic system consisting of (Ph 3 P) 3 RhCl and 2-amino-3-picoline by microwave irradiation under solvent-free conditions. The addition of cyclohexylamine catalyst accelerated the reaction rate dramatically under microwave irradiation compared with the classical heating method.
Extracted statement — Additive: 2-amino-3-picoline
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Data: /L at 4th week
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Data: 10mg/kg body weight
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Material: 27, adult healthy male Sprague Dawley rats
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Data: 4.28±0.39mg/L.
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Data: 4.42±0.30mg/L
Research field: Pharmacology
Title: EFFECT OF PIOGLITAZONE AND GEMFIBROZIL ADMINISTRATION ON C-REACTIVE PROTEIN LEVELS IN NON-DIABETIC HYPERLIPIDEMIC RATS
Abstract: ABSTRACTOBJECTIVE: To assess and compare anti-inflammatory effect of pioglitazone and gemfibrozil by measuring C-reactive protein (CRP) levels in high fat fed non-diabetic rats.METHODS: A comparative animal study was conducted at the Post Graduate Medical Institute, Lahore, Pakistan in which 27, adult healthy male Sprague Dawley rats were used. The rats were divided into three groups. Hyperlipidemia was induced in all three groups by giving hyperlipidemic diet containing cholesterol 1.5%, coconut oil 8.0% and sodium cholate 1.0%. After four weeks, Group A (control) was given distilled water, Group B was given pioglitazone 10mg/kg body weight and Group C was given gemfibrozil 10mg/kg body weight as single morning dose by oral route for four weeks. CRP was estimated at zero, 4th and 8th week.RESULTS: There was significant increase in the level of CRP after giving high lipid diet from mean±SD of 2.59±0.28mg/L, 2.63±0.32mg/L and 2.67±0.23mg/L at 0 week to 3.55±0.44mg/L, 3.59±0.34mg/L and 3.6±0.32mg/L at 4th week in groups A, B and C respectively.Multiple comparisons by ANOVA revealed significant difference between groups at 8th week only. Post hoc analysis disclosed that CRP level was significantly low in pioglitazone treated group having mean±SD of 2.93±0.33mg/L compared to control group’s 4.42±0.30mg/L and gemfibrozil group’s 4.28±0.39mg/L. The p-value in each case was <0.001, while difference between control and gemfibrozil was not statistically significant.CONCLUSION: Pioglitazone is effective in reducing hyperlipidemia associated inflammation, evidenced by decreased CRP level while gemfibrozil is not effective.KEY WORDS: Pioglitazone (MeSH); Gemfibrozil (MeSH); Hyperlipidemia (MeSH); Anti-inflammatory (MeSH); C-reactive protein (MeSH).
Extracted statement — Material: coconut oil 8.0% and sodium cholate